An Interpolation-Free and Fitting-Less Sub-sample Time-Delay Estimation Algorithm

In this paper we propose a new algorithm for sub-sample time-delay estimation between two discrete-time signals. The new algorithm operates just over the discrete-time signals without the need for interpolation or fitting. The proposed method is compared with a method based on spline fitting, and that is referred to outperform other methods over a broader set of conditions (Viola&Walker, 2005). The new approach, besides presenting a low computational cost (70% less), seemed to outperforms the spline approach in situations of high noise levels (typically signal-to noise ratios smaller than 20dB).

[1]  P. VanBaren,et al.  Two-dimensional temperature estimation using diagnostic ultrasound , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  António E. Ruano,et al.  A Soft-Computing Methodology for Noninvasive Time-Spatial Temperature Estimation , 2008, IEEE Transactions on Biomedical Engineering.

[3]  J. Ophir,et al.  Methods for Estimation of Subsample Time Delays of Digitized Echo Signals , 1995 .

[4]  Jonathan Ophir,et al.  Elastography: Imaging the elastic properties of soft tissues with ultrasound , 2002, Journal of Medical Ultrasonics.

[5]  W.F. Walker,et al.  A spline-based algorithm for continuous time-delay estimation using sampled data , 2005, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[6]  W. Walker,et al.  A fundamental limit on delay estimation using partially correlated speckle signals , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[7]  W. Walker,et al.  A comparison of the performance of time-delay estimators in medical ultrasound , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.